The impact of the values of the most meaningful parameters on the behavior of MAX-MIN Ant System is analyzed. Namely, we take into account the number of ants, the evaporation rate of the pheromone, and the exponent values of the pheromone trail and of the heuristic measure in the random proportional rule. We propose an analytic approach to the exam of their impact on the speed of convergence of the algorithm. Some computational experiments are reported to show the practical feedback of the theoretical results
The influence of the allowed running time on the choice of the parameters of an ant system is invest...
We present an original ant model to solve the foraging problem. We describe simulations and provide ...
A number of extensions of Ant System, the first ant colony optimization (ACO) algorithm, were pro...
The impact of the values of the most meaningful parameters on the behavior of MAX-MIN Ant System is ...
Abstract. The impact of the values of the most meaningful parame-ters on the behavior of MAX–MIN Ant...
In this thesis we will discuss the setting of the parameters of the Max-Min Ant System. In the lite...
The paper presents some preliminary results on distribution of pheromone evaporation values among an...
In recent years, various metaheuristic approaches have been created to solve quadratic assignment pr...
In this paper we consider Max-Min and Ant Colony System. They are generally recognized to be the bes...
The paper presents some preliminary results on distributing initial parameter values among ants in A...
In ant colony optimization (ACO) methods, including Ant System and MAX-MIN Ant System, each ant stoc...
Ant System, the first Ant Colony Optimization algorithm, showed to be a viable method for attacking ...
This thesis examines two ant-based models: the first is a model of biological ants using mass recru...
With this paper, we contribute to the understanding of ant colony optimization (ACO) algorithms by f...
Ant colony optimisation is a constructive metaheuristic in which solutions are built probabilistical...
The influence of the allowed running time on the choice of the parameters of an ant system is invest...
We present an original ant model to solve the foraging problem. We describe simulations and provide ...
A number of extensions of Ant System, the first ant colony optimization (ACO) algorithm, were pro...
The impact of the values of the most meaningful parameters on the behavior of MAX-MIN Ant System is ...
Abstract. The impact of the values of the most meaningful parame-ters on the behavior of MAX–MIN Ant...
In this thesis we will discuss the setting of the parameters of the Max-Min Ant System. In the lite...
The paper presents some preliminary results on distribution of pheromone evaporation values among an...
In recent years, various metaheuristic approaches have been created to solve quadratic assignment pr...
In this paper we consider Max-Min and Ant Colony System. They are generally recognized to be the bes...
The paper presents some preliminary results on distributing initial parameter values among ants in A...
In ant colony optimization (ACO) methods, including Ant System and MAX-MIN Ant System, each ant stoc...
Ant System, the first Ant Colony Optimization algorithm, showed to be a viable method for attacking ...
This thesis examines two ant-based models: the first is a model of biological ants using mass recru...
With this paper, we contribute to the understanding of ant colony optimization (ACO) algorithms by f...
Ant colony optimisation is a constructive metaheuristic in which solutions are built probabilistical...
The influence of the allowed running time on the choice of the parameters of an ant system is invest...
We present an original ant model to solve the foraging problem. We describe simulations and provide ...
A number of extensions of Ant System, the first ant colony optimization (ACO) algorithm, were pro...